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Field
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for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
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into practical tools, guidelines, and prototype implementations. Furthermore, the candidate may contribute to broader research efforts, including digital chart compilation workflows, geospatial data processing
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‘, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative
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omics data (genomics, transcriptomics, proteomics, metabolomics) and integrative multi-level analysis Experience in medical image processing and analysis (MRI, PET, digital histology, microscopy
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applications for a 12-month position as either a Research Assistant (Level 2) or Postdoctoral Researcher (Level 1) (depending on qualifications and experience), with a speciality in statistical image processing
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the FHNW. The goal is to develop a highly automated, reproducible pipeline for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and
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17.03.2026, Academic staff Hiring a postdoc (E14, 48 months) for TWIN-X, a Horizon Europe project on digital patient twins using generative AI (18 partners, 12 countries, 15/15 score). Focus
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of anatomical and pathological regions of interest Image enhancement e.g. improving resolution, noise, artefacts etc. Synthetic radiography Your job responsibilities As Postdoc in advanced image processing your
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Special Issue in a leading international journal on Digital Autonomy , including developing the call for papers, managing peer review processes in collaboration with guest editors and journal editors, and
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, quantitative, and digital neuropathology approaches, with integration of multimodal phenotypic data. The appointee will also contribute to multidisciplinary, team-based research by integrating neuropathologic